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All righty.

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Now we've seen a few different ways of changing the style of our spots and figures what we might do

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is change the style again but from within an existing style.

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Let's see what that means because that's kind of confusing when you hear it for the first time.

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What we might do is come back up here and take this code.

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Now this is one of the only times we're allowed to copy and paste because I think we've kind of seen

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enough for now of writing out this type of map pop lib style plotting so we'll come right down because

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what we're focused on now is just checking out how to change the style from within a style.

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So if we go here now what we want to do is we want to at the top of this cell.

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We've probably already set it above.

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But I'm going to reset this style so plant dot style I use and I want to see on white great that's a

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star.

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We're going to stick with for the time being set this style.

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Wonderful.

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Now we've created out over 50 data frame up before that's the heart disease patients that are over 50

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and this is going to plot out a scatter graph with this data.

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It's already got some customization a legend and a horizontal line.

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So let's see what this looks like with the White grid style.

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Just for a quick refresh we'll go back up.

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This is what it looks like.

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This is the original one we've just copied the code from this cell.

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And so we're going to come down take a quick snapshot of that in your mind and we're gonna see what

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the Seabourn version looks like.

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Let's it shift into OK.

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So a little bit different.

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We've got the white grid that makes sense because we're using seaborne white grid but these colors I

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think the lines are different color it's red now and these dots are black and white by default.

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What happens if you say I like the seaborne white grid style but I don't really like these colors that

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it's putting out.

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Well as you might have guessed the beautiful thing is now pop live.

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It's got a whole bunch of different colors and we can change up the colors.

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So if we go in here as a little parameter called see map which stands for color map and there's a whole

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bunch of different styles I've kind of explored them myself.

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I personally like winter or summer.

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I think in know this is seasons.

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All it's going to mean is that this changes the color scheme and let's see what happens beautiful.

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So now our black and white dots are of a wintery color scheme.

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You can tell the difference a lot more than just pure black and white.

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Now if we have a look for go to I believe it's matte plot live colors tutorial.

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Now this should show the map properly documentation where you can see a whole bunch of different colors.

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If we go here.

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Control f so colors.

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That's what we're after.

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Choosing color maps in that plot lib.

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So again there's a lot of information here we go down.

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So it's got some different patterns here.

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We keep going down.

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You'll start to see if you type in this is a string plasma.

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Let's see what happens here.

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That's going to change the color map.

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So let's go back to our notebook.

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We might type in plasma

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OK.

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So it's changed back.

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I personally prefer winter.

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You can also do summer.

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Let's see what that looks like.

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OK.

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That's all right.

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But still I think winter's my favorite I've had a practice with these same apps.

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There we go.

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That looks great.

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But this is the map slightly documentation.

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So tutorials slash colors slash color maps and you can keep scrolling down there's a whole bunch here

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if you just wanted green and blue or if you just want a blue and purple you can use these little color

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codes P. You be you for blue and purple or yellow green blue.

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Well keep going there's actually quite a few right.

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So it's all about experimenting and trying to figure out which colors you personally prefer or which

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colors best demonstrate what you're trying to show in your map plot led plot.

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But this line over here that's not really offering much.

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So let's let's check out how we can kind of constrain our plot to certain widths and certain heights

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on the different axis values using x limb and Y limb.

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Let's grab our double sided plot from before our subplot.

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We'll grab that code again.

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This is one of the only times you're allowed to copy and paste code because there's quite a lot of it.

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So to save time writing it out will bring down the graph because what we're focused on is customizing

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the y and x axis limitations we'll put that down there.

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So now we've just copied and pasted the code from take a snapshot of this one as well from up here down

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to here.

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Now if we run this

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it's going to output that subplot that we saw before but with the default Seabourn colors.

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So what do we have to do.

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We have to change the C map.

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So let's see it in action.

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See map again.

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This is just in our scatter plot like we've done up here.

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We've added a C map parameter so we'll do that here.

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C math equals Winter.

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Let's see what happens.

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Beautiful.

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That changes axis zero.

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So the first plot.

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Now we have to do the same for Axis 1.

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We'll add in C math equals winter b beautiful.

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We'll go down have a look.

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Beautiful.

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So now I got two really good looking plants right here.

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So if we go back to our anatomy of a map plot Lee plot starting to get really close to what we've got

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here.

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But as you can see with ours we've got this line here.

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This line here and this one up here whereas on here it's kind of clean the edges nice and cut off at

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50 they're at 200 up there.

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So let's see how we would do that what we're going to do is come back up to our code and now in this

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set parameter we could do it in there but I'll show you another way of doing it.

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So we'll customize access 0 first just to show you what's going on.

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Axis zero dot set y Lim to be.

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What do we want yeah.

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So we want to cut it off at about 50.

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Let's try that.

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So set X Lim.

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So we're going to do that 50 member we can always change this.

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So this is going to be change the x axis limits.

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There we go.

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So let's see what this does.

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We're going to shift into beautiful.

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So now we've cut off that line that was here before.

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So let's do this just to see what happens

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so that's what we've done.

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We've removed this line because we've changed the X limit of access zero to be 50.

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Remember both of these are using the same x axis as age.

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So let's do it let's keep that in there we'll change that limitation there.

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We're gonna add the same thing to Axis 1.

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We'll put it under here.

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Change x 1 x axis limits.

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We're gonna x one dot sets X Lim and we're gonna change that to be.

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I think it's the same 50 and 80.

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Nice and simple 50 80.

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And we're also going to change the Y limit on here to remove this top line to be a flat 200.

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Maybe we go from 50 to 200 or 60 60 to 200 I think that'll be a good range.

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So we'll do that as well.

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X 1 set y Lim 60 200.

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And let's see what happens.

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Now take a quick look at what we've got here.

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You've got this graph we've got this line here.

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We've got this one.

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We've got this line here.

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We've got this top line here.

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So let's see because we've changed the X limb and the Y limb of access 1 and the X limb of Axis 0.

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Hopefully if we've done it all right due to fall that's what we're talking about.

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So now we've fully replicated the plot that we have here.

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We've got the exact same thing going on here we've we've cleaned out the x axis is we've changed the

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color we've changed the style and can't really see it all in one here.

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So let's zoom out a little bit.

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There we go.

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So that plot is looking pretty darn good.

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I don't know if you agree or not maybe you create your own style maybe some different colors or something

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like that but to me that looks like something we can share.

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So that's what we're going to look at the next video is saving and sharing this plot.

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So have a practice around maybe change the limitations with some different data or change his style.

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Change the C map and see if you can create your own version of this heart disease analysis.